{"id":"https://openalex.org/W2793993424","doi":"https://doi.org/10.1073/pnas.1708290115","title":"An empirical analysis of journal policy effectiveness for computational reproducibility","display_name":"An empirical analysis of journal policy effectiveness for computational reproducibility","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2793993424","doi":"https://doi.org/10.1073/pnas.1708290115","mag":"2793993424","pmid":"https://pubmed.ncbi.nlm.nih.gov/29531050"},"language":"en","primary_location":{"id":"doi:10.1073/pnas.1708290115","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.1708290115","pdf_url":"https://www.pnas.org/content/pnas/115/11/2584.full.pdf","source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.pnas.org/content/pnas/115/11/2584.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071572173","display_name":"Victoria Stodden","orcid":"https://orcid.org/0000-0003-2015-7825"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Victoria Stodden","raw_affiliation_strings":["School of Information Sciences, University of Illinois at Urbana\u2013Champaign, Champaign, IL 61820;","School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820; and"],"raw_orcid":"https://orcid.org/0000-0003-2015-7825","affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois at Urbana\u2013Champaign, Champaign, IL 61820;","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820; and","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040610912","display_name":"Jennifer Seiler","orcid":"https://orcid.org/0000-0003-2855-3945"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Seiler","raw_affiliation_strings":["Department of Statistics, Columbia University, New York, NY 10027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Columbia University, New York, NY 10027","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074575061","display_name":"Zhaokun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaokun Ma","raw_affiliation_strings":["Department of Statistics, Columbia University, New York, NY 10027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Columbia University, New York, NY 10027","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071572173"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":92.4587,"has_fulltext":true,"cited_by_count":374,"citation_normalized_percentile":{"value":0.99939755,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"115","issue":"11","first_page":"2584","last_page":"2589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7739723920822144},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7014882564544678},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6019123792648315},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5897297263145447},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5526109337806702},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4974408447742462},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.495397686958313},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4361970126628876},{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.4303610324859619},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15000957250595093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1179589331150055},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10790449380874634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07133883237838745},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06744542717933655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739723920822144},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7014882564544678},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6019123792648315},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5897297263145447},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5526109337806702},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4974408447742462},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.495397686958313},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4361970126628876},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.4303610324859619},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15000957250595093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1179589331150055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10790449380874634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07133883237838745},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06744542717933655},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1073/pnas.1708290115","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.1708290115","pdf_url":"https://www.pnas.org/content/pnas/115/11/2584.full.pdf","source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},{"id":"pmid:29531050","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29531050","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences of the United States of America","raw_type":null},{"id":"pmh:oai:RePEc:nas:journl:v:115:y:2018:p:2584-2589","is_oa":false,"landing_page_url":"http://www.pnas.org/content/115/11/2584.full","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5856507","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5856507","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc Natl Acad Sci U S A","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1073/pnas.1708290115","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.1708290115","pdf_url":"https://www.pnas.org/content/pnas/115/11/2584.full.pdf","source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G2439578419","display_name":null,"funder_award_id":"PG004545","funder_id":"https://openalex.org/F4320306151","funder_display_name":"Alfred P. Sloan Foundation"},{"id":"https://openalex.org/G5616258335","display_name":"EAGER: Policy Design for Reproducibility and Data Sharing in Computational Science","funder_award_id":"1153384","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793993424.pdf","grobid_xml":"https://content.openalex.org/works/W2793993424.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W23985453","https://openalex.org/W345722812","https://openalex.org/W838372325","https://openalex.org/W1767470961","https://openalex.org/W1902052311","https://openalex.org/W1973451694","https://openalex.org/W2008985174","https://openalex.org/W2017419154","https://openalex.org/W2022406334","https://openalex.org/W2030620341","https://openalex.org/W2031934506","https://openalex.org/W2083042078","https://openalex.org/W2104279568","https://openalex.org/W2115148249","https://openalex.org/W2120748137","https://openalex.org/W2157583440","https://openalex.org/W2195775529","https://openalex.org/W2560471521","https://openalex.org/W2614058714","https://openalex.org/W2791577993","https://openalex.org/W2963957599","https://openalex.org/W2971816231","https://openalex.org/W2979855176","https://openalex.org/W3011243144","https://openalex.org/W3121548116","https://openalex.org/W3138843571","https://openalex.org/W4235921469","https://openalex.org/W4252031452"],"related_works":["https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2087830269","https://openalex.org/W3106281778","https://openalex.org/W4324138256","https://openalex.org/W3134060498","https://openalex.org/W2003643616","https://openalex.org/W638612878"],"abstract_inverted_index":{"A":[0],"key":[1],"component":[2],"of":[3,76,101,121,130,142,159,176],"scientific":[4,132],"communication":[5],"is":[6],"sufficient":[7],"information":[8,51],"for":[9,86,169,190],"other":[10],"researchers":[11],"in":[12,135,145],"the":[13,33,41,46,74,81,93,99,122,136,140,167],"field":[14],"to":[15,29,65,154,165],"reproduce":[16,166],"published":[17,123,134],"findings.":[18,124],"For":[19],"computational":[20],"and":[21,48,56,68,83,111,115,162,178],"data-enabled":[22],"research,":[23],"this":[24,173],"has":[25],"often":[26],"been":[27],"interpreted":[28],"mean":[30],"making":[31],"available":[32,90],"raw":[34],"data":[35,67,82,110,177],"from":[36,113,157],"which":[37],"results":[38],"were":[39,152,163],"generated,":[40],"computer":[42],"code":[43,69,84,112,179],"that":[44,79,150],"generated":[45],"findings,":[47],"any":[49],"additional":[50],"needed":[52],"such":[53,102],"as":[54],"workflows":[55],"input":[57],"parameters.":[58],"Many":[59],"journals":[60],"are":[61],"revising":[62],"author":[63],"guidelines":[64],"include":[66],"availability.":[70],"This":[71],"work":[72],"evaluates":[73],"effectiveness":[75,100],"journal":[77,137],"policy":[78,104,144],"requires":[80],"necessary":[85],"reproducibility":[87],"be":[88],"made":[89],"postpublication":[91,180],"by":[92,105],"authors":[94,114],"upon":[95,181],"request.":[96],"We":[97,125,148,171],"assess":[98],"a":[103,127],"(":[106,116],"i":[107],")":[108,118],"requesting":[109],"ii":[117],"attempting":[119],"replication":[120],"chose":[126],"random":[128],"sample":[129,161],"204":[131],"papers":[133],"Science":[138],"after":[139],"implementation":[141],"their":[143],"February":[146],"2011.":[147],"found":[149],"we":[151],"able":[153,164],"obtain":[155],"artifacts":[156],"44%":[158],"our":[160],"findings":[168],"26%.":[170],"find":[172],"policy\u2014author":[174],"remission":[175],"request\u2014an":[182],"improvement":[183],"over":[184],"no":[185],"policy,":[186],"but":[187],"currently":[188],"insufficient":[189],"reproducibility.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":52},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":29},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
